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In this Python Programming Tutorial, we will be learning how to unit-test our code using the unittest module. Unit testing will allow you to be more comfortable with refactoring and knowing whether or not your updates broke any of your existing code. Unit testing is a must on any large projects and is used by all major companies. Not only that, but it will greatly improve your personal code as well. Let's get started.

This web is a online converter that reads Python 2.x source code and applies a series of fixers to transform it into valid Python 3.x code Enter your Python2 code on the left, hit the button, and boom, Python3 code on the right

This is a story about how very difficult it is to build concurrent programs. It’s also a story about a bug in Python’s Queue class, a class which happens to be the easiest way to make concurrency simple in Python. This is not a happy story: this is a tragedy, a story of deadlocks and despair.

Roughly, Hy is to Python as Clojure is to Java. Hy completely inter-ops with Python. I've hit commit 1,500 in my Hy project at work. I wanted to share my experience working with Hy, where I feel it shines and where it falls short.

(是也乎:

等等-> Clojure LISP?!

叕一个为了 LISP 的方言, py 造...

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#! /usr/bin/env hy(print"I was going to code in Python syntax, but then I got Hy.")

A "fold" is a fundamental primitive in defining operations on data structures; it's particularly important in functional languages where recursion is the default tool to express repetition. In this article I'll present how left and right folds work and how they map to some fundamental recursive patterns. The article starts with Python, which should be (or at least look) familiar to most programmers. It then switches to Haskell for a discussion of more advanced topics like the connection between folding and laziness, as well as monoids.

C is relatively difficult to write, making it harder to analyse and test. It would be helpful to be able to do this with a higher level language, such as Python. Analysis and testing don’t affect performance of the actual data structure, so using a slower but easier and more productive language for this seems reasonable. In this article, we walk though a simple example of doing this with a built-in Python library for interfacing with C called ctypes.

One of the reasons why I love the Python programming language is because of how easy debugging is. You don't need a full blown IDE to be able to debug your Python application. We will go through the process of debugging a simple Python script using the pdb module from the Python standard library, which comes with most installation of Python.

We’re excited to be launching a bunch of new annotation types for images. Since the launch of our bounding box API, we’ve annotated millions of images with boxes to identify a host of different objects, from cars and hats to roof damage and parking lots. Scale is becoming an industry-standard tool for solving computer vision problems.